Data-driven analysis of the effect of screening and treatment on the spread of HIV in developing and developed countries.

Introduction: In this study, we used a mathematical epidemic model to explore the status of the HIV epidemic in the USA and Pakistan. In addition to studying the dynamics of the model, we fitted the model with recent data to estimate the parameters describing the epidemic in both countries.

Results: Our estimation shows that in the USA, the reproduction number is 0.

Data set for estimating combining abilities for yield and quality attributes in summer tomato using line by tester analysis in Bangladesh.

This article provides a dataset for line × tester analysis in the F1 generation of summer tomatoes using open-source R statistical software and the 'agricolae' package. The dataset includes seven inbred lines as female parents (L) and two testers as male parents (T) with diverse genetic bases and heat tolerance qualities. Fourteen cross combinations were produced through L × T (7 × 2) mating design, involving hybridization between lines () and testers () in a one-to-one fashion.

Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images.

Viruses are submicroscopic agents that can infect other lifeforms and use their hosts' cells to replicate themselves. Despite having simplistic genetic structures among all living beings, viruses are highly adaptable, resilient, and capable of causing severe complications in their hosts' bodies. Due to their multiple transmission pathways, high contagion rate, and lethality, viruses pose the biggest biological threat both animal and plant species face.

AI-powered VM selection: Amplifying cloud performance with dragonfly algorithm.

The convenience and cost-effectiveness offered by cloud computing have attracted a large customer base. In a cloud environment, the inclusion of the concept of virtualization requires careful management of resource utilization and energy consumption. With a rapidly increasing consumer base of cloud data centers, it faces an overwhelming influx of Virtual Machine (VM) requests.